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How can we effectively design and develop practical tools to assess the presence of bias and potential discrimination in AI systems?
An AI Measurement Science (AIMS) Seminar Series
An AI Measurement Science (AIMS) Seminar Series
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
Phil Lewis from the National Center for O*NET Development will talk about data infrastructure the US Department of Labor provides, and how AI is used to update it. A panel with Diyi Yang from the Stanford Computer Science Department and DEL’s Erik Brynjolfsson will discuss the opportunities of a new partnership between Stanford and the National Center for O*NET Development.
In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
Last August, HAI and Cyber Policy Center launched the AI Audit Challenge, an initiative that invited teams from around the world to submit their models, solutions, and tools with the goal of improving our ability to evaluate AI systems. This event spotlights the four award-winning entries, featuring insightful discussions from participants and AI experts on effective practices and valuable lessons learned from the Challenge.
9:00a.m. - 9:05a.m. PDT
HAI International Policy Fellow; International Policy Director, Cyber Policy Center, Stanford University
Responsible AI Fellow, Berkman Klein Center for Internet & Society, Harvard University
9:05a.m. - 9:15a.m. PDT
Auditbot
Neal Lathia
Monzo Bank, UK
9:15a.m. - 9:25a.m. PDT
Ceteris Paribus
Edward Chen
Stanford University
9:25a.m. - 9:35a.m. PDT
End-User Audits
Michelle S. Lam
Stanford University
9:35a.m. - 9:45a.m. PDT
HateCheck
Paul Röttger
University of Oxford
Hannah Rose Kirk
University of Oxford
Bertie Vidgen
University of Oxford
9:45a.m. - 10:15a.m. PDT
Moderated panel discussion
HAI International Policy Fellow; International Policy Director, Cyber Policy Center, Stanford University
10:15a.m. - 11:15a.m. PDT
Moderated panel discussion
Founder and Principal Researcher, Montreal AI Ethics Institute
Schwartz Reisman Chair in Technology and Society, Professor of Law and Professor of Strategic Management. CIFAR AI Chair. Director, Schwartz Reisman Institute for Technology and Society
Staff Research Scientist, DeepMind's Ethics and Society Team
Raj & Neera Singh Assistant Professor, Computer & Information Science, University of Pennsylvania
Responsible AI Fellow, Berkman Klein Center for Internet & Society, Harvard University
